Cross-platform classification in microarray-based leukemia diagnostics
Författare
Summary, in English
Gene expression profiling is a powerful technique for classifying hematologic malignancies. Its clinical use is, however, currently hindered by the need to collect large sets of expression profiles at each diagnostic facility. To overcome this limitation, we introduced cross-platform classification, allowing classifier construction using pre-existing microarray datasets. As proof-of-principle, we performed cross-platform classification of acute myeloid leukemia and childhood acute lymphoblastic leukemia using expression data from four different facilities. We show that cross-platform classification of these disorders is achievable, and, strikingly, that the diagnostic accuracy can be retained. We conclude that cross-platform classification constitutes an effective and convenient way to implement microarray diagnostics.
Publiceringsår
2006
Språk
Engelska
Sidor
821-824
Publikation/Tidskrift/Serie
Haematologica
Volym
91
Issue
6
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Ferrata Storti Foundation
Ämne
- Hematology
Nyckelord
- cross-platform analysis
- diagnostic classification
- acute leukemia
- gene expression profiling
- humans
- reproducibility
- Oligonucleotide Array Sequence Analysis
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1592-8721